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Paper Citation Record · LEDGER

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning

As of 16 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:1908.03945.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.03945 v6

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:03:19.765703Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

69 of 69 outbound references displayed

  • verified exact7
  • verified fuzzy53
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c7a183a-484f-42c7-a43f-86a08a50eeb1 · outbound

This paper cites Online multi-target tracking with strong and weak detections,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Online multi-target tracking with strong and weak detections,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6ae76849-8b35-4881-8647-75c4a5e08c5f · outbound

This paper cites Online multiple object tracking with the hierarchically adopted GM-PHD filter using motion and appearance,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Online multiple object tracking with the hierarchically adopted GM-PHD filter using motion and appearance,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ddbe66a5-5946-4c0e-9e1d-b06ea483d7d3 · outbound

This paper cites Online multi-object visual tracking using a GM-PHD filter with deep appearance learning,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Online multi-object visual tracking using a GM-PHD filter with deep appearance learning,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 42f4832d-b3d5-4ab1-bfad-0ea4eba0bca8 · outbound

This paper cites Learning by track- ing: Siamese CNN for robust target association,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Learning by track- ing: Siamese CNN for robust target association,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.499896Z digest=sha256:b26eae47b7aab6629a5086542ea01b13e14ead7fe948545a68f161e4af71c178

Observation fb160897-df77-4a24-a118-2d84512709dc · outbound

This paper cites Continuous energy minimization for multitarget tracking,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Continuous energy minimization for multitarget tracking,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1c0db590-280f-45b4-9b72-630e75a1a59b · outbound

This paper cites Globally-optimal greedy algorithms for tracking a variable number of objects,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Globally-optimal greedy algorithms for tracking a variable number of objects,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4168a379-face-467e-9443-0a4b547f9d95 · outbound

This paper cites an unresolved cited work.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Unresolved cited work

Reference 7

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unresolved
raw_fallback, observed 2026-08-14T14:03:20.745401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 667999a5-fd46-4b8e-8351-04d7c0ee05af · outbound

This paper cites Multiple Object Tracking: A Literature Review.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Multiple Object Tracking: A Literature Review

Reference 8

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:03:19.517346Z digest=sha256:c55ab32ab8e6f93f25969e0a44ee9981ae242e4491666b39991ee47ebd1dadb8

Observation 28f44d87-3154-449d-8eb3-df0488c5a46a · outbound

This paper cites Bar-Shalom, P.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Bar-Shalom, P

Reference 9

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raw_fallback, observed 2026-08-14T14:03:20.734025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.521111Z digest=sha256:3956dbe4179f8675c2a3433aa6bb057f0c2cd7a85df70704539ea3dc21ffb0b1

Observation 77705503-5ffa-450c-b966-0ba6cf768ad4 · outbound

This paper cites Multiple hypothesis tracking revisited,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Multiple hypothesis tracking revisited,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c153fd2a-8c52-4ddb-9353-ab96ac015d3a · outbound

This paper cites An extension of the munkres algorithm for the assignment problem to rectangular matrices,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning An extension of the munkres algorithm for the assignment problem to rectangular matrices,

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 40de1434-a173-4597-9110-582ef9296399 · outbound

This paper cites an unresolved cited work.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Unresolved cited work

Reference 12

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 834a4065-b138-407a-9463-f6c1f1589373 · outbound

This paper cites Multitarget bayes filtering via first-order multitarget moments,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Multitarget bayes filtering via first-order multitarget moments,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 45f48f53-3058-442f-80a9-f75f5995cc8c · outbound

This paper cites Multitarget filtering with linearized complexity,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Multitarget filtering with linearized complexity,

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 892fc3b1-6355-4ad2-81f9-a110c9ff9561 · outbound

This paper cites A new multi-target tracking algorithm for a large number of orbiting objects,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning A new multi-target tracking algorithm for a large number of orbiting objects,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation acc088ec-d5c6-40f6-8eb0-4e261fc3f8e6 · outbound

This paper cites A new multi-target tracking algorithm for a large number of orbiting objects,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning A new multi-target tracking algorithm for a large number of orbiting objects,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2a4616bf-2a77-4506-b2ce-40e30c25ee43 · outbound

This paper cites ImageNet classification with deep convolutional neural networks,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning ImageNet classification with deep convolutional neural networks,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d88a2d11-c7bc-4cd4-ad7b-7771c5fc093a · outbound

This paper cites Deep Residual Learning for Image Recognition.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Deep Residual Learning for Image Recognition

Reference 18

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no resolver link, observed 2026-08-14T14:03:19.559697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fb320c6b-3f97-4884-bfc4-dfd6e3c151c7 · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ede73789-71a8-412b-aaa9-6b890c28b90f · outbound

This paper cites A Discriminatively Learned CNN Embedding for Person Re-identification.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning A Discriminatively Learned CNN Embedding for Person Re-identification

Reference 20

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 998eb280-c62f-46c3-9db4-d9c7aa1d0fbc · outbound

This paper cites Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:03:19.571688Z digest=sha256:3fa312cb569c4e6ae240e1daa7679b60d4392f93a0f10c43e89b8af635d1dda5

Observation 9ec58372-0ade-439a-996e-4e71c824445f · outbound

This paper cites Online multi-target visual tracking using a HISP filter,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Online multi-target visual tracking using a HISP filter,

Reference 22

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raw_fallback, observed 2026-08-14T14:03:20.619922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f4079d5d-15ca-44d5-9a2f-9700546bfa85 · outbound

This paper cites The Gaussian mixture probability hypothesis density filter,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning The Gaussian mixture probability hypothesis density filter,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a1c13022-30ef-4839-8791-b521523f5a5a · outbound

This paper cites Long-term correlation tracking using multi-layer hybrid features in sparse and dense environments,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Long-term correlation tracking using multi-layer hybrid features in sparse and dense environments,

Reference 24

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raw_fallback, observed 2026-08-14T14:03:20.592010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8d4911b8-4219-46ad-9030-2dd80a8db52a · outbound

This paper cites Single to multiple target, multiple type visual tracking,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Single to multiple target, multiple type visual tracking,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b9ae6211-ce05-4566-9cb9-5abf43fefe32 · outbound

This paper cites Multiple target, multiple type filtering in the RFS framework,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Multiple target, multiple type filtering in the RFS framework,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation caf6982d-b592-4bde-831b-5b8abbbcd64c · outbound

This paper cites Development of a N-type GM-PHD filter for multiple target, multiple type visual tracking,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Development of a N-type GM-PHD filter for multiple target, multiple type visual tracking,

Reference 27

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raw_fallback, observed 2026-08-14T14:03:20.542810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.601102Z digest=sha256:fe58050736867be20f133142423e9bd47c5e5f90205ac36eb60a1b8b5550bba8

Observation 8f6c1610-d067-4327-b438-9f1d725ab333 · outbound

This paper cites Available: http://www.sciencedirect.com/science/article/ pii/S1051200418303166.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Available: http://www.sciencedirect.com/science/article/ pii/S1051200418303166

Reference 28

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raw_fallback, observed 2026-08-14T14:03:20.553953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation aefc327a-1cda-4a1e-9495-423e7e1113a1 · outbound

This paper cites An efficient implementation of the generalized labeled multi-bernoulli filter,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning An efficient implementation of the generalized labeled multi-bernoulli filter,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.517645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.607899Z digest=sha256:aee9f61dd889d7dd583db5b2d25ddc67c3620555ee15748827341c14f9052865

Observation 1b51998e-2a1f-4b7c-8e01-05bedd81aea4 · outbound

This paper cites Labeled random finite sets and the bayes multi-target tracking filter,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Labeled random finite sets and the bayes multi-target tracking filter,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.530041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.604576Z digest=sha256:8aa6319d0cd1c530d261912e7ff1b26d9e729d04d046f0f28173eb50597ec461

Observation 4221e9e3-3b36-4726-8d8a-0981d73d85c6 · outbound

This paper cites Multi-object filtering with stochastic populations.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Multi-object filtering with stochastic populations

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-14T14:03:19.908249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.616287Z digest=sha256:2a144f831d08a5f501e64b3efe58e227034b3d2279583f04ebcb1303781976be

Observation 2e987c6f-60f9-47e1-a0aa-0ea6fb1d84a3 · outbound

This paper cites Online multi-object tracking via labeled random finite set with appearance learning,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Online multi-object tracking via labeled random finite set with appearance learning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.505765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.612434Z digest=sha256:72952370c2cf97bb66cc05d7ba6bcd268150edac8f0899d62b54d8944f1c0ac0

Observation 34416ced-2b40-4851-a162-1fdf67153f07 · outbound

This paper cites Tracking interacting objects using intertwined flows,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Tracking interacting objects using intertwined flows,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.479790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.625998Z digest=sha256:278c7ee1951cd71c8e080d941dca81973620b4aa3725c688de866c9872384a4f

Observation d96c7ac8-2ff7-495d-8de1-f62d3adea777 · outbound

This paper cites Multiple object tracking using k-shortest paths optimization,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Multiple object tracking using k-shortest paths optimization,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.492539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.620662Z digest=sha256:81e340349ba5af3ad7592c472219088a527010074e7c0441c6288adbff23a96d

Observation 319366e2-6214-4472-a265-8f1e697facb7 · outbound

This paper cites Greedy batch-based minimum-cost flows for tracking multiple objects,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Greedy batch-based minimum-cost flows for tracking multiple objects,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.450608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.635289Z digest=sha256:b7895080f15e0f560dae77fe6cd0e45e809fd5285bf9376a20623df9947d3a17

Observation 3707e350-ca25-49af-9933-f9c01ae283d2 · outbound

This paper cites Non-markovian globally consistent multi-object tracking,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Non-markovian globally consistent multi-object tracking,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.466375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.631119Z digest=sha256:f1a94b9be68761943c96370fe8979780c783beca1937c4fa1355db8bd2c3bdbf

Observation 3b3e55ba-a770-40b2-bdb5-cb76eceffd46 · outbound

This paper cites GM-PHD filter based online multiple human tracking using deep discriminative corre- lation matching,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning GM-PHD filter based online multiple human tracking using deep discriminative corre- lation matching,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.424961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.642465Z digest=sha256:f62f612b58cd9f347410903e829ae1499ae9237823dfb19e255c9a9fd288dd35

Observation 9f7ea06d-f286-4228-8e70-765257dd9115 · outbound

This paper cites Multi-object tracking with neural gating using bilinear LSTM,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Multi-object tracking with neural gating using bilinear LSTM,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.437474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.638976Z digest=sha256:273359094bc53106c264e0034c3fc75e3fb53d362b7f4b974a6baa28630fa4d7

Observation a8c95e2f-f620-4871-b7f3-6b907ff00823 · outbound

This paper cites Scalable person re-identification: A benchmark,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Scalable person re-identification: A benchmark,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.400906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.649953Z digest=sha256:693a59ba236252ac72defc518e0b235d4db6f16128d5d875260eb38d0151359e

Observation 91356f49-f3ea-4fea-b638-bff13b89abae · outbound

This paper cites Deep learning face representation by joint identification-verification,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Deep learning face representation by joint identification-verification,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.412719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.646581Z digest=sha256:e890751023b971c67837c24f4664025ab89f7d8be479e692893eeba78b41bd1c

Observation 747f6cb9-c35d-4587-a3be-3b18c05bca5c · outbound

This paper cites Stable multi-target tracking in real-time surveillance video,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Stable multi-target tracking in real-time surveillance video,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.380256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.657070Z digest=sha256:06e231f8aae1381b33ad7616b9c78f72cc1bab0e8518294445476e6fb4a60bf0

Observation 41ed44ca-5345-4f4b-8de9-dedf027131eb · outbound

This paper cites ImageNet Large Scale Visual Recognition Challenge,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning ImageNet Large Scale Visual Recognition Challenge,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-14T14:03:19.653370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:03:19.653370Z digest=sha256:a7467c38be8e9f6d0708ea8e0232cf72fb3f54e660f5a5070b08fa92b3683067

Observation aaf786a0-777a-4c73-ab0a-3243ea25dd18 · outbound

This paper cites Deepreid: Deep filter pairing neural network for person re-identification,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Deepreid: Deep filter pairing neural network for person re-identification,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.367914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.665434Z digest=sha256:2da4910d2cbfd11ee93cb532740b92b16d659a3c0877038df6696589d0211919

Observation 6f19034c-baca-42b6-b45e-63fcfdbe4d33 · outbound

This paper cites Performance measures and a data set for multi-target, multi- camera tracking,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Performance measures and a data set for multi-target, multi- camera tracking,

Reference 44

Resolution
verified exact
doi, observed 2026-08-14T14:03:19.817063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.661436Z digest=sha256:265523d9f655cd20cd109690d07e177a8b747303e445618d1ab74081d2dd8a23

Observation 4d03ac03-0a07-4fa2-a962-f1e46b387977 · outbound

This paper cites Region-based Quality Estimation Network for Large-scale Person Re-identification.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Region-based Quality Estimation Network for Large-scale Person Re-identification

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-14T14:03:19.890875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.669853Z digest=sha256:0ebdb8bc752054c2408a2eb7b49030fa58624981ccea22d894c20419377ca002

Observation 391558cf-d3fb-400e-b5ec-8252926fd885 · outbound

This paper cites MOT16: A Benchmark for Multi-Object Tracking.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning MOT16: A Benchmark for Multi-Object Tracking

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-14T14:03:19.687617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:03:19.687617Z digest=sha256:7609c6975fb12aa33c19704477282461793bfca621623f0fe7967664dfadd2fb

Observation 38c43649-fdb0-4317-b0e7-2f311eb572e3 · outbound

This paper cites Object detection with discriminatively trained part-based models,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Object detection with discriminatively trained part-based models,

Reference 48

Resolution
verified exact
doi, observed 2026-08-14T14:03:19.803881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.691735Z digest=sha256:6b428e1ba6c22588d47e415f952dfb3ddda3e608c306f1a3eb8ea0aa1b01cc8c

Observation 10ede31c-6dad-446b-b90b-051f8ffccc55 · outbound

This paper cites A sequential monte carlo approximation of the HISP filter,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning A sequential monte carlo approximation of the HISP filter,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.356300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.683412Z digest=sha256:2de1a291ca13689e796b58c1406a72ba5e18df8a72b70712631cbed8838376fb

Observation 4c683044-ac75-4813-afd1-852c6e5dd206 · outbound

This paper cites Evaluating multiple object tracking performance: The CLEAR MOT metrics,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Evaluating multiple object tracking performance: The CLEAR MOT metrics,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.334795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.699327Z digest=sha256:2b0bcf816f87fcbd02a8cc0334e773cbb289a5aaaff607b3befc85736307898f

Observation 401b7c1f-9b44-4f40-873f-ad618b42e2e4 · outbound

This paper cites Learning to associate: Hybridboosted multi-target tracker for crowded scene,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Learning to associate: Hybridboosted multi-target tracker for crowded scene,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.323113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.702805Z digest=sha256:67ddb82f63043cf7c31237e768120b82f136e62a3e876cf0354d960cf5445267

Observation 9a147595-d723-4dd9-960f-0605ea079a9e · outbound

This paper cites Exploit all the layers: Fast and accurate cnn object detector with scale dependent pooling and cascaded rejection classifiers,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Exploit all the layers: Fast and accurate cnn object detector with scale dependent pooling and cascaded rejection classifiers,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.345774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.695787Z digest=sha256:94b3622793906d848d6cc37388601d3b802294c5d6243524a5cfc315a6fcc88b

Observation abd4543a-8603-4957-8d93-b5140e436280 · outbound

This paper cites High-speed tracking-by- detection without using image information,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning High-speed tracking-by- detection without using image information,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.299251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.710785Z digest=sha256:ec30f30751344d570055cf05fdc41bde2c75c3df3eb08697635ceecf974afad7

Observation 768696b7-4d34-40b8-955f-8cc8a2fe047e · outbound

This paper cites The way they move: Tracking multiple targets with similar appearance,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning The way they move: Tracking multiple targets with similar appearance,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.286980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.714602Z digest=sha256:66fb7ce457a791ed799754a5a0c00cef1a6c20638a7a2542a3567f14c0f160af

Observation f1788501-1452-4dd6-b4d8-6cb3537e4689 · outbound

This paper cites MatConvNet – convolutional neural networks for matlab,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning MatConvNet – convolutional neural networks for matlab,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.311544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.706717Z digest=sha256:c57839139d08a35860c680265a678b01143edf5aada071396215d03d4e6018b3

Observation 37d5bce7-f513-4d02-9714-ba48f8833b88 · outbound

This paper cites Sequential sensor fusion combining probability hypothesis density and kernelized correlation filters for multi-object tracking in video data,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Sequential sensor fusion combining probability hypothesis density and kernelized correlation filters for multi-object tracking in video data,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.261582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.722587Z digest=sha256:3f3a28e90dc519b59263212b7fcd4d0ab74c4e1ade2fa37159ea4147798bc2f1

Observation 6b79067d-57f2-454b-87d3-eaedd6f5c6f4 · outbound

This paper cites Real-time multi- human tracking using a probability hypothesis density filter and multiple detectors,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Real-time multi- human tracking using a probability hypothesis density filter and multiple detectors,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.250652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.726633Z digest=sha256:235d569c771182301525275b2d5e225c0e2dafdc629bf00e913e5fec82a87f2d

Observation c009668f-b32e-40d9-9b36-2aeb9e2e2f46 · outbound

This paper cites Joint probabilistic data association revisited,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Joint probabilistic data association revisited,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.273410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.718341Z digest=sha256:b959790bfa2fd0a541fc076c76b2eb785fd056bb0adc6db54adce7d68577ecff

Observation 2d5c9ce0-e070-4f49-8082-3cdb992563e4 · outbound

This paper cites Eliminating exposure bias and metric mismatch in multiple object tracking,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Eliminating exposure bias and metric mismatch in multiple object tracking,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.226272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.734294Z digest=sha256:38a6c4a644fd4fe74ea77113c87b819bd5feb0da466e0233be0186654dceb2dd

Observation 6082070f-7130-4083-9ec8-5fb7c2d7292e · outbound

This paper cites Multiple object tracking via feature pyramid siamese networks,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Multiple object tracking via feature pyramid siamese networks,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.213293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.737621Z digest=sha256:9ff173d7257cf1a1fdef390b647343e52956110aee1bb11f9a9ad886ca03a5a8

Observation c500e989-2c86-4e48-9452-66c2c622ed95 · outbound

This paper cites Joint cost minimization for multi-object tracking,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Joint cost minimization for multi-object tracking,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.239133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.730456Z digest=sha256:3b99ecbba670e68a00e9382dfb897345645c6fe400092344e71d49f3bfb2f49d

Observation 5fc54540-6112-47da-8fbf-8a6cfe8315d6 · outbound

This paper cites Simple online and realtime tracking,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Simple online and realtime tracking,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.179757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.744874Z digest=sha256:50117c8bad295396dabdc07dbba2d1a38b6e6ee4b218cb72d468a3fc8fcf286d

Observation 27e4070c-a989-48b0-bbd2-751b9b86ac4a · outbound

This paper cites Tracking the untrackable: Learning to track multiple cues with long-term dependencies,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Tracking the untrackable: Learning to track multiple cues with long-term dependencies,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.167560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.748379Z digest=sha256:733771ba8937481e1d0c289ae3626532a53f8a6c67c69048c144eaead3819300

Observation f370b656-7714-4e17-8b5a-49599159ad76 · outbound

This paper cites Real-time online multi-object tracking in compressed domain,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Real-time online multi-object tracking in compressed domain,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.196085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.741263Z digest=sha256:ec150a3c6fce359c526242580ca913d5c6d042b0b5c23a859123cdeb5b6f3095

Observation 9d3bc5cd-3341-4611-956b-8503222151b8 · outbound

This paper cites Tracking multiple persons based on a variational bayesian model,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Tracking multiple persons based on a variational bayesian model,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.155257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.756494Z digest=sha256:90c238f4d11019f39fb2c93d1c495144da53e0909d35dde04c90e84ecfdb5852

Observation d84c448a-db92-4c5d-88f1-8dfd74d9365b · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition,.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Arcface: Additive angular margin loss for deep face recognition,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.142463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.760596Z digest=sha256:a478889b03d09c74c820877f6a49e8e023501db16990855bb242e7f254175d0b

Observation 534a40a0-334d-403c-9498-ebe187a8d195 · outbound

This paper cites Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-14T14:03:19.848875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.752094Z digest=sha256:7759582aadf9c9663a38dc3b3c47dd0c3bc503092765ccff58f2f7420e11f61a

Observation 1de0bd32-dc2f-4bf2-a357-0bc2d61efc90 · outbound

This paper cites Focal Loss for Dense Object Detection.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Focal Loss for Dense Object Detection

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-14T14:03:19.765703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:03:19.765703Z digest=sha256:9d33f38018ed8ee21573506615f4a4b4ba84baf3aeec934ea832504ead8972e8

Observation 517ba51f-b127-4769-b37b-329c2ace8b48 · outbound

This paper cites Person Transfer GAN to Bridge Domain Gap for Person Re-Identification.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Person Transfer GAN to Bridge Domain Gap for Person Re-Identification

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-14T14:03:19.678236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:03:19.678236Z digest=sha256:06066e19f4b4b52d279aac576f6ba917f48a9b9096fc779d5d02083d997883a3

Observation de319936-cb5e-49e5-a78b-5569d3fc8beb · outbound

This paper cites Available: http://www.sciencedirect.com/science/article/ pii/S0273117719302728.

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning Available: http://www.sciencedirect.com/science/article/ pii/S0273117719302728

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:03:20.647246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:03:19.552515Z digest=sha256:58e3bb0e36e5a3cdf971ceec7c30b8943e6e51d51a79d2182ff3a73eebda02fd

Pith citing papers

No inbound Pith citation observations are available.